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《Journal of Anhui Institute of Architecture》 2005-01
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Forecast and control on temperature of massive concrete based on the irn model with the error unit

HU Jun, WANG Zhong-ming, FANG Gao-ni (1.Dept. of Civil Engineeering, Anhui Institute of Architecture & Industry, Hefei, 230022, China; 2.School of Civil Engineering, Hefei University of Technology, Hefei, 230009, China)  
The factors that influence the temperature of the massive concrete is discussed in the paper. Based on the characteristics of artificial neural network model, a new model of artificial neural network, the Internally Recurrent Net(IRN) model with the error unit is proposed and applied to the forecast and control on temperature of massive concrete. The actual examples verify that the model is ideal and the new method is practicable and beneficial to the forecast and control on temperature of massive concrete.
【CateGory Index】: TU753
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【Citations】
Chinese Journal Full-text Database 2 Hits
1 Xia Yong Pei Ruojuan;Researches on Thermal Stress of High-rise Shear Wall Structure[J];Building Structure;2000-02
2 LU Feng\+1, SUN Dong-ya 1;ZHANG Guo-ming 2(1.China Institute of Water Resources and Hydropower Research,Beijing\ 100044,China; 2.Zhending Water Resources Bureau of Hebei Province,Zhengding\ 050800,China);Application of artificial neural network method to analyze the safety factor of rock slope[J];Journal of Hydraulic Engineering;2002-04
【Secondary Citations】
Chinese Journal Full-text Database 1 Hits
1 Sun Dongya 1 Chen Zuyu 1 Du Bohui 2 Cao Yongcheng2 ( 1 China Institute of Water Resources and Hydropower Research, Beijing 100044) ( 2 Middle China Institute of Reconnaissance Design and Research, Changsha 410014);MODIFICATIONS TO THE RMR SMR SYSTEM FOR SLOPE STABILITY EVALUATION[J];CHINESE JOURNAL OF ROCK MECHANICS AND ENGINEERING;1997-04
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